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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Scala traits


A trait in Scala defines a set of features that can be implemented by classes. A trait is similar to an interface in Java.

A trait can be partially implemented, forcing the user (class) of the trait to implement the details.

For example, we can have this code:

trait Color {
    def isRed(): Boolean
}
class Red extends Color {
    def isRed() = true
}
class Blue extends Color {
    def isRed() = false
}
var red = new Red();
var blue = new Blue();
red.isRed()
blue.isRed()

The code creates a trait called Color with one partially implemented function, isRed. So, every class that uses Color will have to implement isRed().

We then implement two classes, Red and Blue, that extend the Color trait (this is the Scala syntax for using a trait). Since the isRed() function is partially implemented, both classes have to provide implementations for the trait function.

We can see how this operates in the following screenshot of the notebook display:

We see (in the output section at the bottom...

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